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Eleanor Selfridge-Field

Eleanor Selfridge-Field is Professor of Music and Symbolic Systems at Stanford University and a Senior Research Associate at the Center for Computer Assisted Research in the Humanities.

Titles by This Editor

Computing in Musicology 14

Early Western music and the art music of the non-Western world both lack highly specified, standardized systems of notation. A serious impediment to the systematic study of early and non-Western music arises when a repertory has no extensive notational system, or multiple, non-standardized ones. In different ways, these conditions pertain to medieval and Renaissance music in the West, and to the art music of Asia, which has traditionally depended on oral tradition rather than notation.

Methods, Models, and User Studies

The field of music query has grown from tentative beginnings in bibliographical systems of earlier decades to a substantial area of interdisciplinary studies in little more than a decade. This volume assembles recent studies from Europe and North America concerned with the query and analysis of musical data. Among these, methods for the synchronization of sound and symbolic data, for automatic analysis through perceptual rules, and for computing a "transportation" distance for thematic comparison are described.

Representation, Retrieval, Restoration

The Virtual Score examines a broad range of approaches to working with musical scores in ways suited to electronic distribution. The first section, on musical representation and interchange, discusses early music and its multiple editorial stances, scores in Braille musical notation (with and without NIFF), the GUIDO format for "adequate" (as opposed to comprehensive) music representation, Extensible Markup Language (XML) and music, and the latest methods for distributing scores online. The second section discusses retrieval and/or analysis of data from encoded melodies.

Concepts, Procedures, and Applications

This volume covers a wide range of approaches to fundamental questions about music, such as: What is similarity in music? How do we recognize it? How can we program computers to recognize it? Topics include concepts and procedures, tools and applications, human melodic judgments, and online tools for melodic searching.

The Handbook of Musical Codes

The establishment of the Musical Instrument Digital Interface (MIDI) in the late 1980s allowed hobbyists and musicians to experiment with sound control in ways that previously had been possible only in research studios. MIDI is now the most prevalent representation of music, but what it represents is based on hardware control protocols for sound synthesis. Programs that support sound input for graphics output necessarily span a gamut of representational categories. What is most likely to be lost is any sense of the musical work.